Thesis Open Access

Neural Network predictive process modeling: Application to food processing

Mesfin Agide


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{
  "DOI": "10.20372/nadre:4930", 
  "author": [
    {
      "family": "Mesfin Agide"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2009, 
        3, 
        1
      ]
    ]
  }, 
  "abstract": "<p>Currently, food processing industry is driven by several requirements. This<br>\nrequirement includes ensuring safety, meeting quality standard and customer<br>\nexpectation and reducing production cost to be competent in market. To achieve<br>\nthis requirement they have to operate at optimum process conditions all the time.<br>\nIn food processing, due to the nature of the process, it is difficult to find and<br>\noperate at the best conditions solely by experience.<br>\nThe Ethiopia food industry is no coping up with such requirement due cost<br>\nof optimization and low level of education of works operating in the production<br>\nsystem. Thus, it is necessary modeling of the process or part of the process to<br>\ncapture the relation of between important process parameters and use the model to<br>\ncontrol and improve the process better. In addition, it is found necessary to make<br>\nthe model accessible for the operators working in Ethiopian industry. Using<br>\nartificial neural network method is found to be very good modeling to tool to solve<br>\nfood engineering problems</p>", 
  "title": "Neural Network predictive process modeling: Application to food processing", 
  "type": "thesis", 
  "id": "4930"
}
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